Research on Optimization Mode of Comparable Case Selection Process in the Market Comparison Approach

Author(s):  
Yang Nan ◽  
Zheng Junwei
2011 ◽  
Vol 328-330 ◽  
pp. 2386-2389
Author(s):  
Jiang Xu

As a traditional mode, Mass Production in real estate development is having changed to Housing Mass Customization. It is considered that not only production formalization and demand personalization could be combined with well by HMC mode,but also the separation degree between housing supplies and housing demand could be decreased in a great extent. The traditional pricing methods ,such as market comparison approach ,discounted cash flow and cost approximation, are not suitable for determining the price of residential development project produced by housing mass customization mode. In the paper, market behavior of HMC project is analyzed, and it is found that forward contracts theory can be applied to determine the HMC project price. In the finial, an appropriate pricing method is put forward .


2019 ◽  
Vol 31 (3) ◽  
pp. 308-329 ◽  
Author(s):  
Joshua A Strayhorn

Political principals often face information deficits. This is especially true of the US judicial hierarchy; extant theories of ideological monitoring in this setting have therefore explored informational cues such as lower court ideology or dissent. Canonical models of this setting, however, have omitted litigants, implicity assuming they are not an important source of information. This paper develops a formal model that considers whether litigants can credibly signal information about noncompliance, and how litigants’ signals interact with the cues of ideology and dissent. The model shows that litigant signals can be highly informative about doctrinal compliance, sometimes even crowding out the need for other signals. By contrast, litigants face difficulty communicating information about case importance; dissent, however, can be highly informative on this dimension. Accordingly, some informational cues may only influence limited aspects of the high court’s case selection process.


Buildings ◽  
2017 ◽  
Vol 7 (4) ◽  
pp. 16 ◽  
Author(s):  
Manuela De Ruggiero ◽  
Giuseppina Forestiero ◽  
Benedetto Manganelli ◽  
Francesca Salvo

2018 ◽  
Vol 7 (3.12) ◽  
pp. 444
Author(s):  
R P Mahapatra ◽  
Aparna Ranjith ◽  
A Kulothungan

Software once developed is subject to continuous changes. Software Regression Testing thus can be used to reduce the efforts of testing the software by selecting only the required number of test cases and ordering them to test the software after changes have been made to it. In order to improve the fault detection rate, the selection of efficient test cases and order of execution of these tests is important. Here is when the test case selection comes into picture where in, the fault detection rate during the working of any software has to be improved. The test case selection process will find the most efficient test cases which can fully functionally test the software that has been modified. This indeed will contribute to an improved fault detection rate which can provide faster feedback on the system under test and let software engineers begin correcting faults as early as possible. In this paper, an approach for test case selection is proposed which takes into consideration the effect of three parameters History, Coverage and Requirement all together in order to improve the selection process. This will also ensure that the rejection of some efficient test cases is reduced when compared to the selection process in conventional methods, most of them making use of a single parameter for test case selection. These Test cases are further optimized using Genetic Algorithm. Results indicate that the proposed technique is much more efficient in terms of selecting the test cases when compared to conventional techniques, thereby improving fault detection rate.  


2004 ◽  
Vol 98 (4) ◽  
pp. 653-669 ◽  
Author(s):  
JAMES MAHONEY ◽  
GARY GOERTZ

A central challenge in qualitative research is selecting the “negative” cases (e.g., nonrevolutions, nonwars) to be included in analyses that seek to explain positive outcomes of interest (e.g., revolutions, wars). Although it is widely recognized that the selection of negative cases is consequential for theory testing, methodologists have yet to formulate specific rules to inform this selection process. In this paper, we propose a principle—the Possibility Principle—that provides explicit, rigorous, and theoretically informed guidelines for choosing a set of negative cases. The Possibility Principle advises researchers to select only negative cases where the outcome of interest is possible. Our discussion elaborates this principle and its implications for current debates about case selection and strategies of theory testing. Major points are illustrated with substantive examples from studies of revolution, economic growth, welfare states, and war.


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